Artificial Intelligence and Machine Learning for Industry 5.0

Abstract

In the context of Industry 5.0, the study investigates the transformational potential of machine learning (ML) and artificial intelligence (AI) approaches. It delves into various subfields of AI and ML, including classification, clustering, deep learning, and more, highlighting their applications and significance in driving innovation and efficiency in industrial processes. Through a systematic review of existing literature and case studies, the paper provides insights into how AI and ML technologies are reshaping Industry 5.0, enabling intelligent decision-making, adaptive control, real-time event detection, and enhancing human-machine collaboration. Additionally, the paper discusses challenges and future directions in leveraging AI and ML for Industry 5.0, offering recommendations for practitioners and researchers